phil arkin, earth system science interdisciplinary center university of maryland, college park...
TRANSCRIPT
Phil Arkin, Earth System Science Interdisciplinary CenterUniversity of Maryland, College Park (Presenter)
J. Janowiak, M. Sapiano, D. Vila, ESSIC/UMCPJ. Turk, Naval Research Laboratory, Monterey, CA
E. Ebert, Bureau of Meteorology, Melbourne, AustraliaR. Ferraro, NOAA/NESDIS/STAR, Camp Springs, MD
C. Kidd, Univ. of Birmingham, UK
2008 EUMETSAT Meteorological Satellite Conference8-12 September 2008, Darmstadt, Germany
Satellite-Derived Precipitation Verification Activities of the International Precipitation
Working Group (IPWG)
2000: Endorsed by the 52nd WMO Executive Council2001: Formation Meeting, Fort Collins, CO US2002: IPWG-1, INM, Spain: Chairs: Vincenzo Levizzani (ISAC/CNR), Arnold Gruber (NOAA/NESDIS)
2004: IPWG-2, NRL, Monterey, CA, USChairs: Joe Turk (NRL), Peter Bauer (ECMWF)
2006: IPWG-3, Bureau of Meteorology, Melbourne, AustraliaChairs: Chris Kidd (Univ of Birmingham, UK), Ralph Ferraro (NOAA/NESDIS)
2008: IPWG-4 (October 13-17), Chinese Meteorological Agency, Beijing, China
IPWG Background
8 IPWG Objectives #2: Establish standards for validation and independent verification of precipitation measurements #7:Make recommendations to national and international agencies
The IPWG was established to foster:•Development of better measurements, and improvement of their utilization;•Improvement of scientific understanding;•Development of international partnerships.
Satellite precipitation estimates -- what do we especially want to get right?
Climate – relative variations, absolute magnitude
NWP data assimilation (physical initialization) - rain location and type
Hydrologists - rain volume
Forecasters and emergency managers - rain location and maximum intensity
(Slide courtesy of E. Ebert)
Combining Information Combining Information from Multiple Satellitesfrom Multiple Satellites
Many (most?) current precipitation products combine information from passive microwave on polar orbiting satellites with that from infrared imagery from geostationary satellites
CMORPH, TMPA, PERSIANN, GSMaP and others are examples of High-Resolution Precipitation Products (HRPP)
IPWG established a project to evaluate these products and to facilitate further developments
Program for the Evaluation of High Resolution Precipitation Products (PEHRPP)
• A collaborative effort to understand the capabilities and characteristics of these High Resolution Precipitation Products
• Sponsored by the International Precipitation Working Group with broad voluntary participation
• Capitalizing on existing research and operational activities/datasets
• Implemented specifically to recommend an Integrated Precipitation Product to the IGOS-P Global Water Cycle Observations Theme (IGWCO)
• Providing a link between the observational and application communities
PEHRPP is designed to exploit four kinds of validation opportunities
– Networks based on national or regional operational rain gauges or radar networks
– High quality time series from ongoing research programs• GEWEX CEOP, TAO/TRITON buoy gauges• Ethiopia, Sao Paolo
– Field program data sets• NAME, BALTEX
– Coherent global scale variability as depicted by the various data sets - the big picture
Near-realtime intercomparison of model & satellite estimates against radar/gauge
observations
(slide courtesy of C. Kidd, with additions)(See Ebert et al., BAMS, 2007)
Validation against ongoing research-quality time series
• Compare nearest HRPP grid-point to high-resolution gauges on TAO/TRITON Buoy array (Tropical Pacific - 24 gauges)– Evaluate between Dec 2002 and March 2006; Split buoys into 2 groups
at 150W– Estimate HRPP value as weighted average of the 4 0.25° grid-points
nearest to gauge– Undercatch corrections applied based on wind and threshold rate– Exclude buoy stations with probability of precipitation <0.1
Sapiano and Arkin, J. Hydrometeorology, 2008 (in press)
Oceanic (TAO): % Bias• Statistics calculated for the entire year
(relatively little seasonality), but split into two groups east/west of 150˚ W
• Correlations between 3-hourly gauge values and satellite estimates range from 0.4 – 0.6
• Spread of results is less west of 150˚ W– PERSIANN has mean bias of zero
with corrected data– CMORPH and TMPA
underestimate by 25%– Different results for uncorrected
data (correction is somewhat uncertain!)
• All HRPPs underestimate precipitation East of 150˚ W (even for uncorrected values)– NRL has a single extreme value
which skews means• These results are consistent with other
findings that satellite-derived estimates of precipitation are generally at the lower end of the available values– e.g.: GPCP vs. Atolls, models
North American Monsoon Experiment (NAME)
North American Monsoon Experiment Precipitation Daily Evolution: NERN vs Satellite over NAME Domain (Nesbitt)
Guangdong Validation Site:Jianyin Liang, CMA with Pingping
Xie, NOAA
Guang-Dong
394 hourly real-time gauges
April – June 2005 period of initial data
April – June 2005 Mean Precipitation
Seasonal Mean Bias
Correlation (3-hourly/ 0.25o)
Gauge
Gauge CMORPH
CMORPH
CMORPH
GPCC
3B42RT
3B42RT
3B42
3B42 MWCOMB
MWCOMBMWCOMB
First Workshop on the Program for the Evaluation of High Resolution Precipitation Products (PEHRPP)
• Hosted by the IPWG• 3-5 December 2007, WMO, Geneva• 40 attendees from 12 countries• Presentations and working group reports on applications, validation and error metrics
Workshop on the Evaluation of High Resolution Precipitation Products
• Workshop focus areas included products, regional validation, error metrics and applications
• Workshop report submitted to BAMS (January 2008)• Recommendations to be presented to IPWG:
• Several high resolution precipitation products exhibit useful skill, but clear superiority for one is not yet evident
• IPWG should establish a continuing effort to conduct, facilitate and coordinate validation and evaluation of such products
• A concerted validation/intercomparison campaign, covering multiple climatic regimes and seasons, should be designed and conducted
Web Page: http://www.isac.cnr.it/~ipwg/IPWG.html
Thank you for your attention!